At Lyft, our purpose is to serve and connect. To do this, we start with our own community by creating an open, inclusive, and diverse organization.

Data and analytics are at the heart of Lyft’s products and decision-making. The Rider organization is focused on building a seamless, best-in-class rideshare experience for riders. As a Data Analyst on the Rider Experience team, you’ll partner directly with cross-functional stakeholders to identify opportunities and design solutions for improving Rider’s experience. You’ll leverage your analytical expertise to deliver actionable insights and recommendations to drive quality business decisions with customer-facing impact. 

The ideal candidate is obsessed with improving customer experience with data insights, a critical thinker and exceptional problem solver who can identify business opportunities and drive impact and cross-functional alignment, shaping product and business strategy through data-centric presentations.

Responsibilities: Manages and owns the end-to-end analysis on rider experience, including creating frameworks, defining key metrics, develop dashboards and monitoring business health to drive decision-making and prioritization based on Lyft's business, strategy, and mission Work closely with cross-functional partners (e.g. Engineering, Product, Marketing) to deliver actionable data-driven insights and identify opportunities for continuously improving the rider experience  Monitor and diagnose rideshare offerings product performance and present findings to senior leadership  Creates and monitors product performance dashboards and communicates findings to cross-functional team Act as a subject matter expert and thought partner in focused product area Breaks down complex problems from end to end and leads execution towards business impact with clear goals.  Design A/B testing and execute analyses to evaluate the impact of new product feature improvements Basic Qualifications: Degree in a quantitative field (e.g. statistics, applied math, economics, engineering). 4+ years of  relevant work experience. Experience in leading data-driven projects from definition to execution.  Proficiency in SQL and Python.  Strong problem-solving and analytical skills with the ability to transition between data and business problems. Exceptional communication (listening, written, and oral) skills with the ability to present findings & recommendations targeted to the audience in question. Strong interpersonal skills, with the ability to build relationships and trust across functions and work collaboratively. Experience in online experimentation and statistical analysis. Passion for driving business impact with data.  Preferred Qualifications: Advanced degrees in quantitative fields. Experience with two-sided market problems. Experience in driving product growth with data insights, including understanding user behaviors, long-term user value, and product lifecycle.    Benefits: Extended health and dental coverage options, along with life insurance and disability benefits Mental health benefits Family building benefits Access to a Health Care Savings Account In addition to provincial observed holidays, team members get 15 days paid time off, with an additional day for each year of service  4 Floating Holidays each calendar year prorated based off of date of hire 10 paid sick days per year regardless of province 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible

Lyft proudly pursues and hires a diverse workforce. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy.  Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.  Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process.  Please contact your recruiter now if you wish to make such a request.

This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Thursdays and a team-specific third day. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year.

The expected base pay range for this position in the Toronto area is $92,800 - $116,000 CAD. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.